Systems, methods, and devices for electronic spectrum management
First Claim
Patent Images
1. A system for managing spectrum data for a radio frequency (RF) environment, comprising:
- at least one node device; and
at least one remote device;
wherein the at least one node device comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine;
wherein the at least one node device is at an edge of a communication network;
wherein the at least one node device is operable to sweep and learn the RF environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment;
wherein the at least one node device is operable to form a knowledge map based on the power level measurements of the RF environment;
wherein the at least one node device is operable to scrub a real-time spectral sweep against the knowledge map;
wherein the at least one node device is operable to calculate a first derivative of the power level measurements and a second derivative of the power level measurements;
wherein the at least one node device is operable to select most prominent derivatives of the first derivative and the second derivative;
wherein the at least one node device is operable to detect at least one signal in the RF environment based on matched positive and negative gradients;
wherein the at least one node device is operable to average the real-time spectral sweep, remove areas identified by the matched positive and negative gradients, and connect points between removed areas to determine a baseline;
wherein the at least one node device is operable to subtract the baseline from the real-time spectral sweep to reveal the at least one signal, thereby creating signal data;
wherein the at least one node device is operable to process the signal data, thereby generating processed data;
wherein the processed data includes In-Phase and Quadrature (I/Q) data for at least one target bandwidth;
wherein the learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data; and
wherein the at least one node device is operable to communicate at least one report for the RF environment to the at least one remote device.
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Abstract
Systems, methods, and devices enable spectrum management by identifying, classifying, and cataloging signals of interest based on radio frequency measurements. In an embodiment, signals and the parameters of the signals may be identified and indications of available frequencies may be presented to a user. In another embodiment, the protocols of signals may also be identified. In a further embodiment, the modulation of signals, data types carried by the signals, and estimated signal origins may be identified.
392 Citations
20 Claims
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1. A system for managing spectrum data for a radio frequency (RF) environment, comprising:
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at least one node device; and at least one remote device; wherein the at least one node device comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine; wherein the at least one node device is at an edge of a communication network; wherein the at least one node device is operable to sweep and learn the RF environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment; wherein the at least one node device is operable to form a knowledge map based on the power level measurements of the RF environment; wherein the at least one node device is operable to scrub a real-time spectral sweep against the knowledge map; wherein the at least one node device is operable to calculate a first derivative of the power level measurements and a second derivative of the power level measurements; wherein the at least one node device is operable to select most prominent derivatives of the first derivative and the second derivative; wherein the at least one node device is operable to detect at least one signal in the RF environment based on matched positive and negative gradients; wherein the at least one node device is operable to average the real-time spectral sweep, remove areas identified by the matched positive and negative gradients, and connect points between removed areas to determine a baseline; wherein the at least one node device is operable to subtract the baseline from the real-time spectral sweep to reveal the at least one signal, thereby creating signal data; wherein the at least one node device is operable to process the signal data, thereby generating processed data; wherein the processed data includes In-Phase and Quadrature (I/Q) data for at least one target bandwidth; wherein the learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data; and wherein the at least one node device is operable to communicate at least one report for the RF environment to the at least one remote device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. An apparatus for spectrum data management for a radio frequency (RF) environment, comprising:
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at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine; wherein the apparatus is at an edge of a communication network; wherein the apparatus is operable to sweep and learn the RF environment in a learning period based on statistical learning techniques, thereby creating learning data including power level measurements of the RF environment; wherein the apparatus is operable to form a knowledge map based on the power level measurements of the RF environment; wherein the apparatus is operable to scrub a real-time spectral sweep against the knowledge map; wherein the apparatus is operable to calculate a first derivative of the power level measurements and a second derivative of the power level measurements; wherein the apparatus is operable to select most prominent derivatives of the first derivative and the second derivative; wherein the apparatus is operable to detect at least one signal in the RF environment based on matched positive and negative gradients; wherein the apparatus is operable to average the real-time spectral sweep, remove areas identified by the matched positive and negative gradients, and connect points between removed areas to determine a baseline; wherein the apparatus is operable to subtract the baseline from the real-time spectral sweep to reveal the at least one signal, thereby creating signal data; wherein the apparatus is operable to process the signal data, thereby generating processed data; wherein the processed data includes In-Phase and Quadrature (I/Q) data for at least one target bandwidth; wherein the learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data; and wherein the apparatus is operable to communicate at least one report for the RF environment to at least one remote device. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification